Unlike data models, the fundamental asset of ontologies is their relative independence of particular applications, i.e. an ontology consists of relatively generic knowledge that can be reused by different kinds of applications/tasks.
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Dec 1, 2002 · The first part of this paper concerns some aspects that help to understand the differences and similarities between ontologies and data models.
The DOGMA ontology engineering approach is introduced that separates "atomic" conceptual relations from "predicative" domain rules and a layer of ...
ABSTRACT. Ontologies in current computer science parlance are computer based resources that represent agreed domain semantics. Unlike data models ...
The first part of this paper concerns some aspects that help to understand the differences and similarities between ontologies and data models. In the second ...
Sep 22, 2020 · Logical and Conceptual Data Models are a better source to reverse-engineer ontologies than database schemas. We examined the use cases for ...
May 31, 2015 · The short answer is Ontology is the theory and the Information Model is the application. Difference Between Ontology and Epistemology.
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Dec 31, 2020 · Data Models, or, better, information models are a special case of ontologies. These methods are only useful when the terms of the ontology are ...
Sep 1, 2012 · Data Model as an Ontology. An alternative could be a data model, which can graphically represent the things of significance to an organization, ...
May 11, 2018 · I have recently stumbled upon the concept of representing data models with ontologies. It seems like it would be a great method for specifying ...